大学生奶茶消费与超重肥胖抑郁症状共患的关联性

李晟芃; 梁定雄; 苏凡; 宋永晶; 沙冕; 徐佳丽; 宋建才; 龚玲

doi:10.16835/j.cnki.1000-9817.2024337

大学生奶茶消费与超重肥胖抑郁症状共患的关联性

doi: 10.16835/j.cnki.1000-9817.2024337

李晟芃¹,
梁定雄²,
苏凡³,
宋永晶⁴,
沙冕⁵,
徐佳丽⁵,
宋建才⁶,
龚玲^5, ,

1.
荆州职业技术学院学前教育学院，湖北 434020
2.
江西省赣州市南康区唐江红旗学校
3.
三峡大学体育学院
4.
长江大学教育与体育学院
5.
上饶师范学院体育学院
6.
江西医学高等专科学校马克思主义学院

基金项目:

2024年江西省基础教育研究课题 SZUSYTY2024-1051

详细信息

作者简介:
李晟芃(1994-)，女，湖北荆州人，硕士，助教，主要研究方向为青少年体质健康

通讯作者:
龚玲，E-mail: gonglingsrsy@163.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R155.1 R723.14 B844.2 R179
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- 被引次数: 0
出版历程
- 收稿日期: 2024-07-29
- 修回日期: 2024-09-24
- 网络出版日期: 2024-12-10
- 刊出日期: 2024-11-15

Correlation of milk tea consumption with comorbid overweight/obesity and depressive symptoms among college students

1.
College of Preschool Education, Jingzhou Institute of Technology, Jingzhou (434020), Hubei Province, China

摘要

摘要: 目的探讨大学生奶茶消费行为与超重肥胖和抑郁症状共患的关联，为促进大学生身心健康提供参考。方法 2023年8—10月，采用方便抽样方法从上海、江西、湖北3省(直辖市)9所高校抽取13 920名大学生进行问卷调查，获取大学生一般人口学特征、奶茶消费情况、超重肥胖情况、抑郁症状等信息。运用χ²检验比较不同人口学特征及奶茶消费与超重肥胖抑郁症状共患的关联，采用多元Logistic回归分析关联强度。结果大学生超重肥胖抑郁症状共患检出率为5.8%。单因素分析结果显示，大学生超重肥胖抑郁症状共患检出率在不同性别、年级、父/母学历、独生子女情况、家庭经济状况、中高体力活动水平达标情况、睡眠质量、消费西式快餐情况组别中差异均有统计学意义(χ²值分别为82.10，23.07，8.91，10.87，4.56，47.60，17.60，386.74，96.61，P值均 < 0.05)；并且在奶茶消费频次、奶茶消费量水平组间差异均有统计学意义(χ²值分别为42.12，38.76，P值均＜0.01)。Logistic回归模型结果显示，相比未消费奶茶组，每周奶茶消费频次4~5和≥6次的大学生超重肥胖抑郁症状共患风险更高(OR值分别为1.98，2.46)；每周奶茶消费量1~1 500和≥3 000 mL的大学生超重肥胖抑郁症状共患风险更高(OR值分别为1.52，1.22)(P值均＜0.05)。结论大学生经常性、超量的奶茶消费可能增加超重肥胖及抑郁症状的共患的风险。应减少大学生奶茶的消费频次和消费量水平，以改善大学生的身心健康。
- 饮料 /
- 超重 /
- 肥胖症 /
- 抑郁 /
- 共病现象 /
- 回归分析 /
- 学生
Abstract: Objective To explore the association of milk tea consumption with comorbid of overweight/obesity and depressive symptoms among college students, so as to provide a reference for promoting the physical and mental health of college students. Methods A questionnaire survey was conducted from August to October 2023 using convenience sampling among 13 920 students from nine universities in Shanghai, Jiangxi, and Hubei provinces (municipality directly under the central government). Information on college students' demographic characteristics, milk tea consumption, overweight/obesity status, and depressive symptoms was collected. Chi-square tests were used to compare the association between different demographic characteristics and milk tea consumption with comorbid overweight/obesity and depressive symptoms. Multivariate Logistic regression analysis was performed to infer the strength of the association. Results The detection rate of comorbidity of overweight/obesity and depressive symptoms was 5.8% among college students. The univariate analysis revealed statistically significant differences in the detection rate of comorbidity of overweight/obesity and depressive symptoms among various groups, including gender, grade, parents' education level, only child status, family economic status, meeting moderate to high levels of physical activity standards, sleep quality, and frequent fast food consumption (χ²=82.10, 23.07, 8.91, 10.87, 4.56, 47.60, 17.60, 386.74, 96.61, P < 0.05). There were also statistically significant differences between groups based on milk tea consumption frequency and quantity (χ²=42.12, 38.76, P < 0.01). Compared with the group of without consuming milk tea, Logistic regression analysis showed that college students who consumed milk tea 4-5 times and ≥6 times had higher risk of comorbid overweight/obesity and depressive symptoms (OR=1.98, 2.46), and college students who consumed 1-1 500 mL and ≥3 000 mL of milk tea also had higher comorbidity risk (OR=1.52, 1.22) (P < 0.05). Conclusions Frequent and excessive milk tea consumption among college students may increase the risk of comorbid of overweight/obesity and depressive symptoms. It is recommended to reduce the frequency and quantity of milk tea consumption to improve college students' physical and mental health.
- Beverages /
- Overweight /
- Obesity /
- Depression /
- Comorbidity /
- Regression analysis /
- Students
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表 1 不同组别大学生超重肥胖抑郁症状共患检出率比较

Table 1. Comparison of the detection rates of overweight and obesity and depressive symptom among college students in different groups

组别	选项	人数	共患人数	χ²值	P值
性别	男	5 583	448(8.0)	82.10	< 0.01
	女	8 337	363(4.4)
户籍所在地	城镇	5 885	354(6.0)	0.67	0.42
	农村	8 035	457(5.7)
年级	大一	8 229	415(5.0)	23.07	< 0.01
	大二	2 713	183(6.7)
	大三	1 798	131(7.3)
	大四	1 180	82(6.9)
父亲学历	小学及以下	2 025	142(7.0)	8.91	0.03
	初中	5 478	288(5.3)
	高中/中专	3 997	232(5.8)
	大学及以上	2 420	149(6.2)
母亲学历	小学及以下	3 550	230(6.5)	10.87	0.01
	初中	5 052	270(5.3)
	高中/中专	3 387	178(5.3)
	大学及以上	1 931	133(6.9)
家庭结构	原生家庭	12 292	705(5.7)	1.58	0.66
	重组家庭	525	34(6.5)
	单亲家庭	949	62(6.5)
	其他	154	10(6.5)
独生子女	是	4 187	271(6.5)	4.56	0.03
	否	9 733	540(5.5)
家庭经济状况	很差	657	66(10.0)	47.60	< 0.01
	较差	2 524	191(7.6)
	一般	9 193	475(5.2)
	较好	1 363	64(4.7)
	很好	183	15(8.2)
中高体力活动水平	是	6 338	427(6.7)	17.60	< 0.01
是否达标	否	7 582	384(5.1)
睡眠质量不良	是	2 259	332(14.7)	386.74	< 0.01
	否	11 661	479(4.1)
经常消费西式快餐	是	1 051	133(12.7)	96.61	< 0.01
	否	12 869	678(5.3)
每周奶茶消费	0	6 348	389(6.1)
频次	1~3	7 263	380(5.2)
	4~5	185	22(11.9)
	≥6	124	20(16.1)	42.12	< 0.01
每周奶茶消费量	0	6 348	389(6.1)
水平/mL	1~1 500	675	37(5.5)
	>1 500~ < 3 000	4152	174(4.2)
	≥3 000	2 745	211(7.7)	38.76	< 0.01
注：()内数字为检出率/%。

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表 2 大学生奶茶消费情况与超重肥胖抑郁症状共患的Logistic回归分析(n=13 920)

Table 2. Logistic regression analysis of co-occurrence of overweight, obesity and depressive symptoms in college students with milk tea consumption(n=13 920)

自变量	选项	β值	标准误	Wald χ²值	OR值(95%CI)
每周奶茶消费	0				1.00
频次	1~3	10.03	0.08	0.10	1.03(0.88~1.19)
	4~5	0.68	0.24	8.42	1.98(1.25~3.15)^**
	≥6	0.90	0.25	12.61	2.46(1.50~4.04)^**
每周奶茶消费	0				1.00
水平/mL	1~1 500	0.42	0.11	14.73	1.52(1.23~1.88)^**
	>1 500~ < 3 000	0.29	0.19	2.32	1.33(0.92~1.93)
	≥3 000	0.20	0.09	4.56	1.22(1.02~1.47)^*
注：调整性别、年级、父亲学历、母亲学历、独生子女、自评家庭经济状况、中高体力活动水平是否达标、睡眠质量不良、经常消费西式快餐因素；^P<0.05，^*P < 0.01。

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